Kaggle - global Data Science community
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Kaggle is a global community of data scientists founded in 2010 in Australia that hosts data science competitions to help solve data problems. It has grown significantly, with over 140,000 data scientists participating by 2014. Kaggle competitions offer the opportunity to gain knowledge and skills through open practice competitions, while other competitions offer cash prizes and potential job opportunities by partnering with companies like Facebook, Yelp, and Walmart on predictive modeling challenges using their real-world data.
Kaggle - global Data Science community
- 1. Kaggle the global community of Data Science professionals Anastasiia Kornilova
- 2. Who am I?
- 3. - MS in Applied Mathematics, - 3 years as a Data Scientist
- 5. What is Data Science?
- 6. Scientific Method Math Statistics Data Engineering Domain Expertise Advanced Visualization Computing Hacker Mindset What matters?
- 9. 2010 - founded in Melbourne, Australia by Antony Goldbloom
- 10. What problem they solve? Data problems Data solvers
- 13. In fact, a McKinsey Global Institute report estimates that by 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions. ! ! !
- 14. Between 2010 and 2020, the data scientist career path is projected to increase by 18.7 percent, beat only by video game designers. The big data industry is expected to be a 53.4 billion industry by 2016.
- 15. Anyone with "data science" in his or her job title on a LinkedIn page is going to get "100 recruiter emails a day," said Josh Sullivan, who leads a 500-person data-science group at the consulting firm Booz Allen Hamilton Holding
- 16. Are you good enough?
- 17. First Competition: Forecast Eurovision Song Contest Voting ! ! - 1000 dollars prize - 22 teams Outperformed prediction markets: predict 7 countries from Top10, prediction markets only 5.
- 18. Short story of success - 2011 - relocated to San Francisco - November, 2011 - raise 11M dollars fundings - July, 2013 - 100,000 data scientists involved - February, 2014 - more than 140,000 data scientists
- 20. How you can use Kaggle?
- 21. Rewarding types - Knowledge - Money - Job interview
- 22. Competitions for knowledge (always open) ! - Digit recognizer, CIFAR-10, First steps with Julia - Titanic: Machine Learning for Disaster - Bike Sharing Demand - Learning Social Circles in Networks
- 23. Competitions with prize: Open: - American Epilepsy Society Seizure Prediction Challenge: 25, 000 prize - Africa Soil Property Prediction Challenge: 8,000 prize - Tradeshift Text Classification: 5,000 prize
- 24. Completed competitions (170+) - Heritage Health Price: 500,000 - GE Flight Quest: 250,000 - GE Hospital Quest: 100,000 - Higgs Boson ML Challenge: 13,000 + invitation to CERN - Galaxy Zoo: 16,000 - KDD Author Paper Identification Challenge - Job Recommendation Challenge
- 25. Job competitions (completed): Facebook: - recommend missing links in social graph (who to follow) - optimal graph path - predict text tags Yelp: - estimate the number of useful votes a review will receive Wallmart: - predict store sales + Job Board
- 26. How to win?
- 27. Dig into the data
- 29. Stay on track
- 30. ! Kaggle competition == Data science?
- 31. 1. Understand 2. Collect 3. Data exploration 4. Clean and transform 6. Validate 5. Model 7. Communicating results Deploy
- 32. ?